Publications

Li, X; Liang, HY; Cheng, WM (2020). Spatio-Temporal Variation in AOD and Correlation Analysis with PAR and NPP in China from 2001 to 2017. REMOTE SENSING, 12(6), 976.

Abstract
Atmospheric aerosols can elicit variations in how much solar radiation reaches the ground surface due to scattering and absorption, which may affect plant photosynthesis and carbon uptake in terrestrial ecosystems. In this study, the spatio-temporal variations in aerosol optical depth (AOD) are compared with that in photosynthetically active radiation (PAR) and net primary productivity (NPP) during 2001-2017 in China using multiple remote sensing data. The correlations between them are analyzed at different scales. Overall, the AOD exhibited a northeast-to-southwest decreasing pattern in space. A national increasing trend of 0.004 year(-1) and a declining trend of -0.007 year(-1) of AOD are observed during 2001-2008 and 2009-2017. The direct PAR (PAR(dir)) and diffuse PAR (PAR(dif)) present consistent and opposite tendency with AOD during two periods, respectively. The total PAR (PAR(total)) shows a similar variation pattern with PAR(dir). In terms of annual variation, the peaks of AOD coincide with the peaks of PAR(dif) and the troughs of PAR(dir), indicating that aerosols have a significant positive impact on PAR(dir) and a negative impact on PAR(dif). Furthermore, the PAR(dir) has a stronger negative association with AOD than the positive correlation between PAR(dif) and AOD at national and regional scales, indicating that PAR(dir) is more sensitive to aerosol changes. The NPP has higher values in the east than in the west and exhibits a significant increasing trend of 0.035 gCm(-2)day(-1) after 2008. The NPP has a negative correlation (-0.4-0) with AOD and PAR(dif) and a positive correlation (0-0.4) with PAR(dir) in most areas of China. The area covered by forests has the highest NPP-PAR correlation, indicating that NPP in forests is more sensitive to the PAR than is the NPP in grasslands and croplands. This study is beneficial for interpreting the aerosol-induced PAR impact on plant growth and for predicting plant production on haze days.

DOI:
10.3390/rs12060976

ISSN: